基于传统爪哇甘美兰音阶的ENSO现象初步声化研究

摘要

声化（Sonification）——将数据映射至非语音音频的技术——为表征复杂动力系统提供了一个尚未充分探索的通道。本研究以厄尔尼诺-南方涛动（ENSO）这一低维气候混沌的典型范例为测试案例，通过复杂系统诊断方法评估文化情境化的声化呈现。基于1870-2024年尼诺3.4区海表温度异常指数的参数映射声化技术，我们将ENSO变率编码至爪哇甘美兰两种传统五声音阶体系（佩洛格与斯连德罗），并采用四种作曲策略进行重构，进而将生成音频视为二维声学相空间中的轨迹进行分析。基于递归的诊断、凸包几何及耦合分析表明：声化流程保留了关键动力学特征——交替模式产生最高轨迹递归率，呼应ENSO的准周期性；分层复调模式探索最广阔的相空间区域；两种音阶体系在频谱亮度与能量间引发质异性耦合机制（佩洛格以反相位为主，斯连德罗则呈现近独立状态）。相空间轨迹分析为复杂系统语境下比较声化设计方案提供了严谨的几何框架。尽管感知验证仍属必要，我们提出的动力系统方法论为评估此类映射关系提供了新路径。

English

Sonification -- the mapping of data to non-speech audio -- offers an underexplored channel for representing complex dynamical systems. We treat El Niño-Southern Oscillation (ENSO), a canonical example of low-dimensional climate chaos, as a test case for culturally-situated sonification evaluated through complex systems diagnostics. Using parameter-mapping sonification of the Niño 3.4 sea surface temperature anomaly index (1870--2024), we encode ENSO variability into two traditional Javanese gamelan pentatonic systems (pelog and slendro) across four composition strategies, then analyze the resulting audio as trajectories in a two-dimensional acoustic phase space. Recurrence-based diagnostics, convex hull geometry, and coupling analysis reveal that the sonification pipeline preserves key dynamical signatures: alternating modes produce the highest trajectory recurrence rates, echoing ENSO's quasi-periodicity; layered polyphonic modes explore the broadest phase space regions; and the two scale families induce qualitatively distinct coupling regimes between spectral brightness and energy -- predominantly anti-phase in pelog but near-independent in slendro. Phase space trajectory analysis provides a rigorous geometric framework for comparing sonification designs within a complex systems context. Perceptual validation remains necessary; we contribute the dynamical systems methodology for evaluating such mappings.

基于传统爪哇甘美兰音阶的ENSO现象初步声化研究

Preliminary sonification of ENSO using traditional Javanese gamelan scales

摘要

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